feat(gtm): v2.5 - Hard Fact Extraction & UI

- Backend: Implemented secondary extraction phase for structured specs (JSON schema).

- Backend: Added strict normalization rules (min, cm, kg).

- Frontend: Added 'Phase1Data' interface update for specs.

- Frontend: Implemented new UI component for 'Technical Specifications' in Phase 1.

- Frontend: Updated header and sidebar to display 'v2.5' build marker.

- Docs: Updated architectural documentation.

gtm_architect_orchestrator.py

@@ -203,6 +203,90 @@ def phase1(payload):
     
     try:
         data = json.loads(response)
+
+        # --- PART 2: HARD FACTS EXTRACTION ---
+        spec_schema = """
+        {
+          "metadata": {
+            "product_id": "string (slug)",
+            "brand": "string",
+            "model_name": "string",
+            "category": "cleaning | service | security | industrial",
+            "manufacturer_url": "string"
+          },
+          "core_specs": {
+            "battery_runtime_min": "integer (standardized to minutes)",
+            "charge_time_min": "integer (standardized to minutes)",
+            "weight_kg": "float",
+            "dimensions_cm": { "l": "float", "w": "float", "h": "float" },
+            "max_slope_deg": "float",
+            "ip_rating": "string",
+            "climb_height_cm": "float",
+            "navigation_type": "string (e.g. SLAM, LiDAR, VSLAM)",
+            "connectivity": ["string"]
+          },
+          "layers": {
+            "cleaning": {
+              "fresh_water_l": "float",
+              "dirty_water_l": "float",
+              "area_performance_sqm_h": "float",
+              "mop_pressure_kg": "float"
+            },
+            "service": {
+              "max_payload_kg": "float",
+              "number_of_trays": "integer",
+              "display_size_inch": "float",
+              "ads_capable": "boolean"
+            },
+            "security": {
+              "camera_types": ["string"],
+              "night_vision": "boolean",
+              "gas_detection": ["string"],
+              "at_interface": "boolean"
+            }
+          },
+          "extended_features": [
+            { "feature": "string", "value": "string", "unit": "string" }
+          ]
+        }
+        """
+
+        specs_prompt = f"""
+        PHASE 1 (Part 2): HARD FACT EXTRACTION
+        Input: "{analysis_content}"
+        
+        Task: Extract technical specifications strictly according to the provided JSON schema.
+        
+        NORMALIZATION RULES (STRICTLY FOLLOW):
+        1. Time: Convert ALL time values (runtime, charging) to MINUTES (Integer). Example: "1:30 h" -> 90, "2 hours" -> 120.
+        2. Dimensions/Weight: All lengths in CM, weights in KG.
+        3. Performance: Area performance always in m²/h.
+        4. Booleans: Use true/false (not strings).
+        5. Unknowns: If a value is not in the text, set it to null. DO NOT HALLUCINATE.
+        
+        LOGIC FOR LAYERS:
+        - If product uses water/brushes -> Fill 'layers.cleaning'.
+        - If product delivers items/trays -> Fill 'layers.service'.
+        - If product patrols/detects -> Fill 'layers.security'.
+        
+        EXTENDED FEATURES:
+        - Put any technical feature that doesn't fit the schema into 'extended_features'.
+        
+        Output JSON format ONLY based on this schema:
+        {spec_schema}
+        """
+
+        log_and_save(project_id, "phase1_specs", "prompt", specs_prompt)
+        specs_response = call_gemini_flash(specs_prompt, system_instruction=sys_instr, json_mode=True)
+        log_and_save(project_id, "phase1_specs", "response", specs_response)
+
+        try:
+            specs_data = json.loads(specs_response)
+            data['specs'] = specs_data
+        except json.JSONDecodeError:
+            logging.error(f"Failed to decode JSON from Gemini response in phase1 (specs): {specs_response}")
+            data['specs'] = {"error": "Failed to extract specs", "raw": specs_response}
+
         db_manager.save_gtm_result(project_id, 'phase1_result', json.dumps(data))
         
         # WICHTIG: ID zurückgeben, damit Frontend sie speichert